Python 3: The Python Environment

In this course, you will learn more high-end techniques and strategies for programming with Python.

Upon completion of this course you will be able to:

• Parse command-line arguments and perform string validation.
• Build sophisticated structures such as bunch classes.
• Create your own APIs.
• Enhance your code with iterables, iterators, and generators.
• Manipulate textual data with regular expressions.
• Apply advanced object-oriented programming techniques to Python development.
• Exchange binary data with other languages and systems.
• Configure user setups and log activity.
• Calculate date and time.

From beginning to end, you will learn by doing Python-based projects and submitting them for instructor feedback.  These projects, as well as the final project, will add to your portfolio and will contribute to certificate completion.  Besides a browser and Internet connection, all software is provided online by the O’Reilly School of Technology.

This course counts toward the Python Programming Certificate Series.

Prerequisites: Python 2: Getting More Out of Python, or equivalent skills.  This course is meant for the intermediate or advanced Python programmer.

90 Clock-hours  6 CEUs  $498.00 $348.60

Course Details and Syllabus

Course:	Python 3: The Python Environment
Tuition:	$498 $348.60
Time Frame:	This course is online and self-paced. You can expect to work approximately 90 hours on this course.
Technical Requirements:	As long as you have a web browser and internet connection, you can take this course from anywhere in the world.
CEUs:	6 Continuing Education Units with official letter from O’Reilly Media.
Software:	The Ellipse Learning Sandbox® provided for you will contain all your lessons, projects, quizzes, account files, editors, and compiling tools necessary to build your skills from beginning to end, even beyond coursework. No other software is needed.
Instructor:	You will have one instructor throughout the course who will evaluate your projects and quizzes, hand them back for improvement when necessary, and coach you throughout your skills advancement.
Book:	All required course materials and software are included online within the Learning Sandbox®. However, within a few weeks of enrolling, you’ll receive the e-book Learning Python, Fourth Edition as a reference resource from O’Reilly.
Certificates:	Completion of this course counts toward the Python Programming Certificate Series.
Prerequisites:	Python 2: Getting More Out of Python, or equivalent skills. This course is meant for the intermediate or advanced Python programmer.
Topics:	command-line arguments, string validation, bunch classes, APIs, iterables, iterators, generators, regular expressions, object-oriented programming, binary data, properties, logging, config and ini files, time and date functions, etc.
Syllabus:	` Python 3 Lab 1 — Making Sense of User Inputs Lesson Format Getting Information for Programs Command Line Arguments String Analysis and Manipulation Python 3 Lab 2 — Converting Data into Structured Objects Constructing Classes Application Programming Interfaces Method Resolution Order Python 3 Lab 3 — Iteration in Python Iterables vs. Iterators Generators: Avoiding Creation of Large Sequences Generator Expressions Python 3 Lab 4 — Basic Regular Expressions Matching and Searching Finding Characters: Regular Expression Patterns Grouping in Patterns Substitution for Patterns Trying Out Patterns Python 3 Lab 5 — More On Regular Expressions Fundamentals of Regular Expressions Use Regular Expressions With Care Python 3 Lab 6 — Compiling and Flagging Regular Expressions Compiling Regular Expressions Flagging Regular Expressions Python 3 Lab 7 — Python’s Object-Oriented Features Encapsulation Inheritance Polymorphism Python 3 Lab 8 — Consuming and Creating Binary Data Python Data vs. Raw Computer Data The struct Module Python 3 Lab 9 — Advanced Objects: Special Methods Basic Customization Attribute Access Emulating Functions: the __call__() Method Python 3 Lab 10 — Properties Putting Computations Behind Attributes Decorator Syntax Settable Properties Setting values via properties Deleting Attributes Using Properties Python 3 Lab 11 — A First Look at Logging Setting Up a Basic Logger Other Logging Functions Other Logging Levels Getting Tests to Use Different Logging Levels Log Formatting Python 3 Lab 12 — Engineering Your Programs optparse: A Powerful Command-line Processor configparser: Controlling Settings the Right Way Python 3 Lab 13 — Time-Based Computations What Time Is It? If it Takes Thirty-One Days…? How Many Days Until my Birthday?